Sparql, Deep Learning, Tensorflow, Pytorch, Data Science, Python, AWS, Machine Learning, Sql, Gcp, Databricks, Azure, embeddings, knowledge engineering, scikit-learn, enterprise ontologies, vector databases, big data infrastructure, semantic retrieval, Cypher, enterprise knowledge grounding, Statistical Modeling, GQL, ML libraries, semantic models, cloud environments, GenAI systems, graph query languages, RAG, semantic data systems, applied AI

causal inference , Machine Learning, Data Manipulation, Python, Deep Learning, Transformers, Graph-based Machine Learning

data engineering , Machine Learning, Python, Sql, Data Analysis, Causal AI, Structured Causal Models

Pytorch, Sql, MySQL, Deep Learning, Python, Azure, Flask, Machine Learning, Pandas, scikit-learn

Svm, Deep Learning, Neural Network, Predictive Modeling, Clustering, Python, applied statistical analysis, Forecasting, Random Forests, R, Regression, Boosting, Tree, text analysis

Python, Statistical Modelling, Machine Learning, SQL/NoSQL, ML algorithms, big data concepts

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition

Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization